Tags Weighting Based on User Profile

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dc.contributor.authorKichou, Saida
dc.contributor.authorMellah, Hakima
dc.contributor.authorAmghar, Youssef
dc.contributor.authorDahak, Fouad
dc.date.accessioned2013-11-28T09:15:15Z
dc.date.available2013-11-28T09:15:15Z
dc.date.issued2011
dc.description.abstractThe ’Collaborative Tagging’ is gaining popularity on Web 2.0, this new generation of Web which makes user reader/writer. The ’Tagging’ is a mean for users to express themselves freely through additions of label called ’Tags’ to shared resources. One of the problems encountered in current tagging systems is to define the most appropriate tag for a resource. Tags are typically listed in order of popularity, as del-icio-us. But the popularity of the tag does not always reflect its importance and representativeness for the resource to which it is associated. Starting from the assumptions that the same tag for a resource can take different meanings for different users, and a tag from a knowledgeable user would be more important than a tag from a novice user, we propose an approach for weighting resource’s tags based on user profile. For this we define a user model for his integration in the tag weight calculation and a formula for this calculation, based on three factors namely the user, the degree of approximation between his interest centers and the resource field, expertise and personal assessment for tags associated to the resource. A resource descriptor containing the best tags is created.fr_FR
dc.identifier.doi10.1007/978-3-642-23620-4_24
dc.identifier.e-isbn978-3-642-23620-4
dc.identifier.isbn978-3-642-23619-8
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/392
dc.publisherSpringer Berlin Heidelbergfr_FR
dc.relation.ispartofActive Media Technology : 7th International Conference, AMT 2011, Lanzhou, China, September 7-9, 2011. Proceedings
dc.relation.ispartofseriesActive Media Technology : 7th International Conference, AMT 2011, Lanzhou, China, September 7-9, 2011. Proceedingsfr_FR
dc.relation.placeBerlinfr_FR
dc.rights.holderSpringer-Verlag GmbH Berlin Heidelbergfr_FR
dc.subjectCollaborative Taggingfr_FR
dc.subjectUser profilefr_FR
dc.subjectInformation retrievalfr_FR
dc.titleTags Weighting Based on User Profilefr_FR
dc.typeBook Chapter
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